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Qwen2.5 Coder 7B 3x Instruct TIES V1.1 by BenevolenceMessiah

 »  All LLMs  »  BenevolenceMessiah  »  Qwen2.5 Coder 7B 3x Instruct TIES V1.1   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:etherll/qwen2.5-cod... Base model:huihui-ai/qwen2.5-c... Base model:madeagents/hammer2.... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Coder 7B 3x Instruct TIES V1.1 Benchmarks

LLME Score: 0.24777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2.5 Coder 7B 3x Instruct TIES V1.1 Parameters and Internals

Model Type 
merge
Additional Notes 
This model was created using the TIES merge method from multiple pre-trained language models using the mergekit tool.
LLM NameQwen2.5 Coder 7B 3x Instruct TIES V1.1
Repository 🤗https://huggingface.co/BenevolenceMessiah/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.1 
Base Model(s)  Etherll/Qwen2.5-Coder-7B-Instruct-Ties   huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated   Qwen/Qwen2.5-Coder-7B   MadeAgents/Hammer2.0-7b   Etherll/Qwen2.5-Coder-7B-Instruct-Ties   huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated   Qwen/Qwen2.5-Coder-7B   MadeAgents/Hammer2.0-7b
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
MaintainerBenevolenceMessiah
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 Coder 7B 3x Instruct TIES V1.1 (BenevolenceMessiah/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.1)

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Note: green Score (e.g. "73.2") means that the model is better than BenevolenceMessiah/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.1.

Rank the Qwen2.5 Coder 7B 3x Instruct TIES V1.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241110
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